I build systems that pay for themselves.
I turn messy, manual work into automated, KPI-driven systems - data, full-stack, and ML. 10+ years end-to-end; now at St Catherine’s, Sydney.
- 10+ yrs
- building software, data & AI systems end-to-end
- 2,000 users
- pentested portal, shipped solo in 8 weeks
- 30K+
- messages automated every month
- 1M+
- client records managed in production
What I do
Software Engineering
Full-stack products shipped end-to-end - most recently a pentested portal serving 2,000 parents, built solo in 8 weeks.
Data Engineering
Pipelines, reporting and BI people trust - from reverse-engineering legacy ETL estates to dashboards leadership actually uses.
Automation & DevOps
I find manual work and delete it - a 100-minute batch job cut to ~2 seconds; deploy downtime from 10+ minutes to ~2s.
AI / ML
Applied ML with honest metrics - deployed scikit-learn services, RAG assistants, and a 1,100+ commit open-source agentic pipeline.
Core stack
Software
Data
Automation & DevOps
AI / ML
Impact
Real, concrete results from systems I've built, scaled, and run - where there's a public write-up, the number links to it.
Scale
2,000
Parents served by a portal built solo in 8 weeks
1M+
Client records managed across 20+ clinics ↗
30K+
WhatsApp messages automated / month ↗
Reliability & security
0
Cross-account data leaks at 100-concurrent load
Passed
External OWASP pentest - no breach
500+
Automated tests behind a CI release gate
Efficiency
100 min → 2 s
Batch job runtime after a rewrite
~2 s
Deploy downtime, down from 10+ minutes ↗
11 → 0
Manual query edits per finance reporting cycle
Timeline at a glance
Key career milestones and technical achievements
- 2023–2024
Designed and launched Konquista, a Django + Celery/Redis WhatsApp automation platform powering 30K+ monthly messages across all clinics. Expanded Python expertise across FastAPI, Flask, and Streamlit for production-grade ML and automation pipelines.
- 2024
Relocated to Sydney and continued delivering for international clients across time zones. Strengthened backend architecture, designed scalable Python systems, and completed Stanford’s Machine Learning Specialization.
- 2025
Pursuing a Master’s in Software Engineering & AI while expanding full-stack capabilities. Shipped Wedstack (Next.js + GraphQL + Stripe), built AI tools on OpenAI, and published 30+ engineering write-ups on dev.to.
- 2026
Joined St Catherine’s School, Sydney as a Data Analyst, now Data & Systems Specialist - building SQL Server pipelines, Power BI reporting, and cross-system integrations in a regulated educational environment, and laying data foundations for analytics and ML, while continuing the Master’s.